Jos Crisis and the Challenge of Managing Cultural Differences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper is an analysis of how the Nigerian government manages cultural differences, especially the type that is causing the crisis in Jos, Nigeria. I sampled textual exemplars from Nigerian newspapers. The newspaper texts served as part of the data used for the analysis. The sampled texts are displayed on a titled text box and interpreted. Comments given by two interviewees representing opposing sides in the Jos crisis are also displayed. Methods of Critical Discourse Analysis are used to interpret and discuss the newspaper texts and the comments given by the interviewees. The discussion reveals that flaws in the implementation of multicultural policy are the cause of the recurrent crisis in Jos. Discussion on multiculturalism found flaws in how Canada and other Western countries handle liberal multiculturalism. Discussion also reveals that even when a new policy is devised to solve the Jos crisis, the Nigerian government would be reluctant to accept the policy if the acceptance gets suspected of having a potential to undermine its Federal Character policy. The paper also found that government’s reluctance has not deterred other Nigerians from pushing for possible innovative ways of managing the ever-increasing cultural problems besetting Nigeria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it